Scott E. Fahlman

发表

Probabilistic rounding in neural network learning with limited precision

Markus Höhfeld, Scott E. Fahlman, S. Fahlman, 1992, Neurocomputing.

A semantic model for actions and events in ambient intelligence

Francisco Moya, Juan Carlos López, Xavier del Toro, 2011, Eng. Appl. Artif. Intell..

SconeEdit: A Text-guided Domain Knowledge Editor

Scott E. Fahlman, Alicia Tribble, Benjamin Lambert, 2006, HLT-NAACL.

Information Processing Research

Allen Newell, Scott E. Fahlman, Dales A. James, 1992 .

Supercomputing support for advanced biomedical imaging (roundtable)

Richard A. Robb, Clinton S. Potter, Scott E. Fahlman, 1994, SC.

NETL: A System for Representing and Using Real-World Knowledge

Scott E. Fahlman, S. Fahlman, 1979, CL.

Editorial Sensing, Perceiving, and Understanding Actions

Juan Carlos López, Maria J. Santofimia, Scott E. Fahlman, 2014 .

Knowledge-Driven Learning and Discovery

Scott E. Fahlman, Benjamin Lambert, 2007, AAAI.

Resolving Noun Compounds with Multi-Use Domain Knowledge

Scott E. Fahlman, Alicia Tribble, S. Fahlman, 2006, FLAIRS.

Learning evaluation functions for global optimization

Andrew W. Moore, Scott E. Fahlman, Justin A. Boyan, 1998 .

Selling interrupt rights: A way to control unwanted e-mail and telephone calls

Scott E. Fahlman, S. Fahlman, 2002, IBM Syst. J..

Parallel and Serial Components in Human-Like Intelligence

Scott E. Fahlman, S. Fahlman, 2011, BICA.

Thesis progress report : a system for representing and using real-world knowledge

Scott E. Fahlman, S. Fahlman, 1975 .

The hashnet interconnection scheme

Scott E. Fahlman, S. Fahlman, 1980 .

Using Scone's Multiple-Context Mechanism to Emulate Human-Like Reasoning

Scott E. Fahlman, 2011, AAAI Fall Symposium: Advances in Cognitive Systems.

Marker-Passing Inference in the Scone Knowledge-Base System

Scott E. Fahlman, S. Fahlman, 2006, KSEM.

Sensing, Perceiving, and Understanding Actions

Juan Carlos López, Scott E. Fahlman, María José Santofimia, 2014, Int. J. Distributed Sens. Networks.

An empirical study of learning speed in back-propagation networks

Scott E. Fahlman, S. Fahlman, 1988 .

The Cascade-Correlation Learning Architecture

Christian Lebiere, Scott E. Fahlman, C. Lebiere, 1989, NIPS.

Position Paper: Knowledge-Based Mechanisms for Deception

Scott E. Fahlman, 2015, AAAI Fall Symposia.

What can Massively Parallel Architectures Bring to AI?

Scott E. Fahlman, S. Fahlman, 1988, Australian Joint Conference on Artificial Intelligence.

Learning with limited numerical precision using the cascade-correlation algorithm

Markus Höhfeld, Scott E. Fahlman, S. Fahlman, 1992, IEEE Trans. Neural Networks.

Reducing Network Depth in the Cascade-Correlation Learning Architecture,

Shumeet Baluja, Scott E. Fahlman, S. Fahlman, 1994 .

Parallel processing in artificial intelligence

Scott E. Fahlman, 1985, Parallel Comput..

The Intersection Problem

Scott E. Fahlman, 1975 .

Computing Facilities for AI: A Survey of Present and Near-Future Options

Scott E. Fahlman, 1980, AI Mag..

The Monk''s Problem''s: A Performance Comparison of Different Learning Methods

Ivan Bratko, Peter W. Pachowicz, Sebastian Thrun, 1991 .

A Hypothesis-Frame System for Recognition Problems

Scott E. Fahlman, S. Fahlman, 1973 .

Possible-World and Multiple-Context Semantics for Common-Sense Action Planning

Juan Carlos López, Xavier del Toro, Maria J. Santofimia, 2012, Situational Awareness for Assistive Technologies.

The Recurrent Cascade-Correlation Architecture

Scott E. Fahlman, S. Fahlman, 1990, NIPS.

Cascade Correlation

Thomas R. Shultz, Scott E. Fahlman, T. Shultz, 2010, Encyclopedia of Machine Learning and Data Mining.

Design Sketch for a Million-Element NETL Machine

Scott E. Fahlman, 1980, AAAI.

Internal design of CMU common Lisp on the IBM RT PC

Skef Wholey, Scott E. Fahlman, David B. McDonald, 1987 .

Does Vision Need a Special-purpose Language?

Scott E. Fahlman, S. Fahlman, 1973 .

Cancellation in a Parallel Semantic Network

David S. Touretzky, Scott E. Fahlman, Walter van Roggen, 1981, IJCAI.

Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications: Computer Vision, Speech and Natural Language Processing, and Artificial Intelligence

Salvatore J. Stolfo, Sergei Nirenburg, Richard E. Korf, 1993, IEEE Trans. Knowl. Data Eng..

Should first-order logic be neurally plausible?

David S. Touretzky, Scott E. Fahlman, S. Fahlman, 1993, Behavioral and Brain Sciences.

Modeling Mental Contexts and Their Interactions

Wei Chen, Scott E. Fahlman, S. Fahlman, 2008, AAAI Fall Symposium: Biologically Inspired Cognitive Architectures.

Connectionist Architectures for Artificial Intelligence

Geoffrey E. Hinton, Scott E. Fahlman, S. Fahlman, 1990, Computer.

Beyond Idiot-Savant AI

Scott E. Fahlman, 2012 .

The design of an instruction set for common LISP

Skef Wholey, Scott E. Fahlman, S. Fahlman, 1984, LFP '84.

Knowledge Resource Development for Identifying Matching Image Descriptions

Scott E. Fahlman, Alicia Sagae, 2013, KEOD.

CMU-AT: Semantic Distance and Background Knowledge for Identifying Semantic Relations

Scott E. Fahlman, Alicia Tribble, 2007, SemEval@ACL.

Parallel processing in artificial intelligence

Scott E. Fahlman, 1988 .

A Planning System for Robot Construction Tasks

Scott E. Fahlman, S. Fahlman, 1973, Artif. Intell..

Some Thoughts on NETL, 15 Years Later

Scott E. Fahlman, 1993 .

A Common-Sense Planning Strategy for Ambient Intelligence

Francisco Moya, Juan Carlos López, Maria J. Santofimia, 2010, KES.

Roundtable discussion: supercomputing support for advanced biomedical imaging

Scott E. Fahlman, 1994, Supercomputing '94.

Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines

Geoffrey E. Hinton, Terrence J. Sejnowski, Scott E. Fahlman, 1983, AAAI.

Image Retrieval with Textual Label Similarity Features

Scott E. Fahlman, Alicia Sagae, 2015, Intell. Syst. Account. Finance Manag..

Episodic Memory Representation in a Knowledge Base , with Application to Event Monitoring and Event Detection

Eric Nyberg, Scott E. Fahlman, Engin Cinar Sahin, 2008 .